Faculty Bibliography

This paper explores the role of incentives in the English National Health Service. Until financial year 2009/2010, elective procedures that were cancelled after admission received a fixed reimbursement associated with a specific healthcare resource group code. We investigate whether this induced trusts to admit and then cancel, rather than cancel before admission and/or to cancel low fee over high fee work. As the tariff was ended in April 2010, we conduct an interrupted time series analysis to examine if their behaviour was affected after the tariff removal. The results indicate a small, yet statistically significant, decline in the probability of a last minute cancellation in the post-tariff period, especially for certain types of patients and diagnoses

BACKGROUND: Educational and computerized interventions have been shown to reduce red blood cell (RBC) transfusion rates, yet controversy remains surrounding the optimal strategy needed to achieve sustained reductions in liberal transfusions. STUDY DESIGN AND METHODS: The purpose of this study was to assess the impact of clinician decision support (CDS) along with targeted education on liberal RBC utilization to four high-utilizing service lines compared with no education to control service lines across an academic medical center. Clinical data along with associated hemoglobin levels at the time of all transfusion orders between April 2014 and December 2015 were obtained via retrospective chart review. The primary outcome was the change in the rate of liberal RBC transfusion orders (defined as any RBC transfusion when the hemoglobin level is >7.0 g/dL). Secondary outcomes included the annual projected reduction in the number of transfusions and the associated decrease in cost due to these changes as well as length of stay (LOS) and death index. These measures were compared between the 12 months prior to the initiative and the 9-month postintervention period. RESULTS: Liberal RBC utilization decreased from 13.4 to 10.0 units per 100 patient discharges (p = 0.002) across the institution, resulting in a projected 12-month savings of $720,360. The mean LOS and the death index did not differ significantly in the postintervention period. CONCLUSION: Targeted education combined with the incorporation of CDS at the time of order entry resulted in significant reductions in the incidence of liberal RBC utilization without adversely impacting inpatient care, whereas control service lines exposed only to CDS had no change in transfusion habits.

BACKGROUND: The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) comprises over 100 general practices in England, with a population of around 1 million, providing a public health surveillance system for England and data for research. AIM: To demonstrate the scope of data with the RCGP Annual Report 2014-2015 (May 2014 to April 2015) by describing disparities in the presentation of six common conditions included in the report. DESIGN AND SETTING: This is a report of respiratory and communicable disease incidence from a primary care sentinel network in England. METHOD: Incidence rates and demographic profiles are described for common cold, acute otitis media, pneumonia, influenza-like illness, herpes zoster, and scarlet fever. The impact of age, sex, ethnicity, and deprivation on the diagnosis of each condition is explored using a multivariate logistic regression. RESULTS: With the exception of herpes zoster, all conditions followed a seasonal pattern. Apart from pneumonia and scarlet fever, the odds of presenting with any of the selected conditions were greater for females (P<0.001). Older people had a greater probability of a pneumonia diagnosis (>/=75 years, odds ratio [OR] 6.37; P<0.001). Common cold and influenza-like illness were more likely in people from ethnic minorities than white people, while the converse was true for acute otitis media and herpes zoster. There were higher odds of acute otitis media and herpes zoster diagnosis among the less deprived (least deprived quintile, OR 1.32 and 1.48, respectively; P<0.001). CONCLUSION: The RCGP RSC database provides insight into the content and range of GP workload and provides insight into current public health concerns. Further research is needed to explore these disparities in presentation to primary care.

AIM: To investigate the impact of glycaemic control on infection incidence in people with Type 2 diabetes. METHODS: We compared infection rates during 2014 in people with Type 2 diabetes and people without diabetes in a large primary care cohort in the UK (the Royal College of General Practitioners Research and Surveillance Centre database). We performed multilevel logistic regression to investigate the impact of Type 2 diabetes on presentation with infection, and the effect of glycaemic control on presentation with upper respiratory tract infections, bronchitis, influenza-like illness, pneumonia, intestinal infectious diseases, herpes simplex, skin and soft tissue infections, urinary tract infections, and genital and perineal infections. People with Type 2 diabetes were stratified by good [HbA1c <53 mmol/mol (<7%)], moderate [HbA1c 53-69 mmol/mol (7-8.5%)] and poor [HbA1c >69 mmol/mol (>8.5%)] glycaemic control using their most recent HbA1c concentration. Infection incidence was adjusted for important sociodemographic factors and patient comorbidities. RESULTS: We identified 34 278 people with Type 2 diabetes and 613 052 people without diabetes for comparison. The incidence of infections was higher in people with Type 2 diabetes for all infections except herpes simplex. Worsening glycaemic control was associated with increased incidence of bronchitis, pneumonia, skin and soft tissue infections, urinary tract infections, and genital and perineal infections, but not with upper respiratory tract infections, influenza-like illness, intestinal infectious diseases or herpes simplex. CONCLUSIONS: Almost all infections analysed were more common in people with Type 2 diabetes. Infections that are most commonly of bacterial, fungal or yeast origin were more frequent in people with worse glycaemic control

AIMS: To describe the proportion of glucose tests with unrecorded provenance in routine primary care data and identify the impact on clinical practice. METHODS: A cross-sectional analysis was conducted of blood glucose measurements from the Royal College of General Practitioner Research and Surveillance Centre database, which includes primary care records from >100 practices across England and Wales. All blood glucose results recorded during 2013 were identified. Tests were grouped by provenance (fasting, oral glucose tolerance test, random, none specified and other). A clinical audit in a single primary care practice was also performed to identify the impact of failing to record glucose provenance on diabetes diagnosis. RESULTS: A total of 2 137 098 people were included in the cross-sectional analysis. Of 203 350 recorded glucose measurements the majority (117 893; 58%) did not have any provenance information. The most commonly reported provenance was fasting glucose (75 044; 37%). The distribution of glucose values where provenance was not recorded was most similar to that of fasting samples. The glucose measurements of 256 people with diabetes in the audit practice (size 11 514 people) were analysed. The initial glucose measurement had no provenance information in 164 cases (64.1%). A clinician questioned the provenance of a result in 41 cases (16.0%); of these, 14 (34.1%) required repeating. Lack of provenance led to delays in the diagnosis of diabetes [median (range) 30 (3-614) days]. CONCLUSIONS: The recording of glucose provenance in UK primary care could be improved. Failure to record provenance causes unnecessary repeated testing, delayed diagnosis and wasted clinician time

Complex medical data sometimes requires significant data preprocessing to prepare for analysis. The complexity can lead non-domain experts to apply simple filters of available data or to not use the data at all. The preprocessing choices can also have serious effects on the results of the study if incorrect decision or missteps are made. In this work, we present open-source data filters for an analysis motivated by understanding mortality in the context of sepsis- associated cardiomyopathy in the ICU. We report specific ICU filters and validations through chart review and graphs. These published filters reduce the complexity of using data in analysis by (1) encapsulating the domain expertise and feature engineering applied to the filter, by (2) providing debugged and ready code for use, and by (3) providing sensible validations. We intend these filters to evolve through pull requests and forks and serve as common starting points for specific analyses.